Monaural music source separation: Nonnegativity, sparseness, and shift-invariance

Minje Kim, Seungjin Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we present a method for polyphonic music source separation from their monaural mixture, where the underlying assumption is that the harmonic structure of a musical instrument remains roughly the same even if it is played at various pitches and is recorded in various mixing environments. We incorporate with nonnegativity, shift-invariance, and sparseness to select representative spectral basis vectors that are used to restore music sources from their monaural mixture. Experimental results with monaural instantaneous mixture of voice/cello and monaural convolutive mixture of saxophone/viola, are shown to confirm the validity of our proposed method.

Original languageEnglish (US)
Title of host publicationIndependent Component Analysis and Blind Signal Separation - 6th International Conference, ICA 2006, Proceedings
PublisherSpringer
Pages617-624
Number of pages8
ISBN (Print)3540326308, 9783540326304
DOIs
StatePublished - 2006
Externally publishedYes
Event6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006 - Charleston, SC, United States
Duration: Mar 5 2006Mar 8 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3889 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006
Country/TerritoryUnited States
CityCharleston, SC
Period3/5/063/8/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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